Wireless sensor-actuator networks can bring flexibility to smart home.We design and develop a smart home prototype using wireless sensor-actuator network technology to realize environmental sensing and the control of ...Wireless sensor-actuator networks can bring flexibility to smart home.We design and develop a smart home prototype using wireless sensor-actuator network technology to realize environmental sensing and the control of electric appliances.The basic motivation of our solution is to utilize the collaboration among a mass of low-cost sensor nodes and actuator nodes to make life convenient.To achieve it,we design a novel system architecture with assembled component modules.In particular,we address some key technical challenges:1) Field-Programmable Gate Array (FPGA) Implementation of Adaptive Differential Pulse Code Modulation (ADPCM) for audio data;2) FPGA Implementation of Lempel Ziv Storer Szymanski (LZSS) for bulk data;3) combination of complex control logic.Finally,a set of experiments are presented to evaluate the performance of our solution.展开更多
针对语音提示音需要占用较多Ezairo DSP存储空间的问题,实现一种8 k Hz采样和4-bit量化的自适应差分脉冲编码调制(ADPCM)解码算法,将需要解码的数据存储在DSP的EEPROM里,再经由SPI接口传输给DSP内核解码,通过简化逆量化器和索引查表规...针对语音提示音需要占用较多Ezairo DSP存储空间的问题,实现一种8 k Hz采样和4-bit量化的自适应差分脉冲编码调制(ADPCM)解码算法,将需要解码的数据存储在DSP的EEPROM里,再经由SPI接口传输给DSP内核解码,通过简化逆量化器和索引查表规则进行算法优化,提高程序的执行效率;为适应16 k Hz的系统采样率,利用sin c插值方法将8 k Hz采样率的解码输出转换成16 k Hz系统输出。实验结果表明,ADPCM解码器能保证重建语音的质量,其MOS评分能达到4.0。在每帧2 ms的延时下,通过对代码的优化可以节省10条指令,从而提高15%的效率。展开更多
基金supported by the Natural Science Foundation of China under Grant No.61070206,No.61070205and No.60833009the National973Project of China under Grant No.2011CB302701+2 种基金the program of New Century Excellent Talents in University of China under Grant No.NCET-080737the Beijing National Natural Science Foundation under Grant No.4092030the Cosponsored Project of Beijing Committee of Education
文摘Wireless sensor-actuator networks can bring flexibility to smart home.We design and develop a smart home prototype using wireless sensor-actuator network technology to realize environmental sensing and the control of electric appliances.The basic motivation of our solution is to utilize the collaboration among a mass of low-cost sensor nodes and actuator nodes to make life convenient.To achieve it,we design a novel system architecture with assembled component modules.In particular,we address some key technical challenges:1) Field-Programmable Gate Array (FPGA) Implementation of Adaptive Differential Pulse Code Modulation (ADPCM) for audio data;2) FPGA Implementation of Lempel Ziv Storer Szymanski (LZSS) for bulk data;3) combination of complex control logic.Finally,a set of experiments are presented to evaluate the performance of our solution.
文摘针对语音提示音需要占用较多Ezairo DSP存储空间的问题,实现一种8 k Hz采样和4-bit量化的自适应差分脉冲编码调制(ADPCM)解码算法,将需要解码的数据存储在DSP的EEPROM里,再经由SPI接口传输给DSP内核解码,通过简化逆量化器和索引查表规则进行算法优化,提高程序的执行效率;为适应16 k Hz的系统采样率,利用sin c插值方法将8 k Hz采样率的解码输出转换成16 k Hz系统输出。实验结果表明,ADPCM解码器能保证重建语音的质量,其MOS评分能达到4.0。在每帧2 ms的延时下,通过对代码的优化可以节省10条指令,从而提高15%的效率。